Evaluating how well a whole system or set of subsystems performs is one of the primary objectives of performance testing. We can tell via performance assessment if the architecture implementation meets the design objectives. Performance evaluations of several parallel algorithms are compared in this study. Both theoretical and experimental methods are used in performance assessment as a subdiscipline in computer science. The parallel method outperforms its sequential counterpart in terms of throughput. The parallel algorithm's performance (speedup) is examined, as shown in the result.
翻译:评估整个系统或一套子系统的表现如何良好是绩效测试的主要目标之一。我们可以通过绩效评估来判断建筑实施是否符合设计目标。在本研究中比较了若干平行算法的绩效评估。在绩效评估中,理论和实验方法都被用作计算机科学的次级纪律。平行方法在吞吐方面优于其相继对应方法。平行算法的绩效(速度)经过了审查,如结果所示。